You’re already collecting it. You’re just not using it.
Your customer data, turned into customers who come back.
Your regulars drift away and you don't see it.
- Most customers don't complain before they leave. They just come in less.
- By the time you notice a regular is gone, they've been gone for months.
One regular, visit by visit
Example data. Days until they came back.
You treat every customer the same.
- A small group of customers brings in most of your revenue.
- Discounts go just as often to people who'd have come anyway.
Who brings in the money
Example data. Share of customers against share of revenue.
Quiet losses add up.
- A few regulars lost each month barely shows on any one day.
- Over a year, it's a big slice of your takings.
Revenue from January's regulars
Example data. Each month as a share of January.
Big businesses already do this.
The biggest retailers run their own data teams. Every time you scan a loyalty card, those teams are working out which offer will keep you coming back.
Most businesses have the same question: who's drifting away, and how do you keep them? The answer is usually already sitting in their till or booking system. What they don't have is a data team on the payroll. You get the same analysis without employing one: you pay for the work, not the salaries.
What a data team costs
| Average salary | Per year | Per month |
|---|---|---|
| Data analyst1 | A$105,000 | A$8,750 |
| Data scientist1 | A$125,000 | A$10,417 |
| Data engineer2 | A$130,000 | A$10,833 |
| Together | A$360,000 | A$30,000 |
Every month, before recruitment, software, leave cover or a desk to sit at. Analyst and scientist salaries are the midpoints of each range; the engineer's is the reported average.
Sources
- 1.Lumify Learn, “Data analyst vs data scientist salaries in Australia (2026)”, July 2026, citing SEEK salary data: data analysts A$95,000 to A$115,000; data scientists A$115,000 to A$135,000. View source
- 2.Lumify Learn, “Azure data engineer salaries in Australia (2026): a city-by-city breakdown”, August 2026, citing SEEK salary data: the average advertised data engineer salary in Australia is approximately A$130,000. View source
How it works
The data you need is almost always already sitting in the software you use every day. The work is turning it into a few decisions you can act on.
Step 1
Send what you already have
An export from your till, booking system or membership software. No new systems to install and nothing to track by hand. Customer names are swapped for codes before any analysis starts.
Step 2
We find the patterns
Who your best customers are, who is quietly drifting away, and what separates the people who stay from the ones who leave.
Step 3
You get a plain-English plan
A short report: what we found, what it's worth to you, and what to do about it this month. No dashboards to learn and no jargon.
Step 4
Keep it current, if you like
Monthly updates track whether the changes worked and flag new customers who need attention. Entirely optional.
Who we help
Every business has its own version of the same question: who are my best customers, and how do I keep them? Pick your business type to see the problems we help with and an example of the analysis. Every engagement can be a one-off report or an ongoing monthly subscription.
Gyms & fitness studios
Membership churn, new sign-ups that don't stick, trial conversion and member value.
See how we helpCafes & restaurants
First-timers who never return, loyalty schemes, margins and quiet periods.
See how we helpRetail shops
One-off buyers, lapsed customers, basket size and stock that sits still.
See how we helpSalons, barbers & beauty
Clients who don't rebook, no-shows, drifting regulars and product sales.
See how we helpMechanics & auto services
Customers who service elsewhere, declined work, quiet bays and job margins.
See how we helpMountain resorts
Lift scans, divisions that don't share data, loyalty across seasons, lessons and premium guests.
See how we helpAbout Lloyd Analytics
Lloyd Analytics is a freelance analytics practice for growth-ready businesses that don't have a data team of their own: mountain resorts, gyms, cafes, salons, workshops and retailers among them. Growth-ready means you want more from your business and you're willing to put in the work to grow it.
Customer data is pseudonymised before analysis, and engagements are priced to the work: a single report or an ongoing subscription, whichever fits.
- Based inTasmania, Australia
- FocusGrowth-ready businesses
- EngagementOne-off or recurring
Book a free consultation
Tell us about your business and the questions on your mind. We'll tell you what your data can answer and whether we're the right fit. No cost and no obligation.